Triple

T19989871
Position Surface form Disambiguated ID Type / Status
Subject 8th arrondissement of Lyon E494032 entity
Predicate contains P35 FINISHED
Object Bachut
Bachut is a neighborhood in Lyon’s 8th arrondissement known for its residential character and local amenities.
E1406278 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bachut | Statement: [8th arrondissement of Lyon, contains, Bachut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bachut
Context triple: [8th arrondissement of Lyon, contains, Bachut]
  • A. Bachorze
    Bachorze is a small settlement in northern Poland located near Lake Charzykowskie, known for its access to the surrounding lakes and forests of the Kashubian region.
  • B. Bachern
    Bachern is a small village in Bavaria, Germany, that forms part of the municipality of Inning am Ammersee.
  • C. Brechtel
    Brechtel is a residential subarea within the Algiers neighborhood of New Orleans, Louisiana.
  • D. Bonnke
    Bonnke is a German surname most prominently associated with Reinhard Bonnke, a well-known Christian evangelist.
  • E. Chamerbach
    Chamerbach is a small river in central Switzerland that serves as one of the tributaries feeding into Lake Zug.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bachut
Triple: [8th arrondissement of Lyon, contains, Bachut]
Generated description
Bachut is a neighborhood in Lyon’s 8th arrondissement known for its residential character and local amenities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bachut
Target entity description: Bachut is a neighborhood in Lyon’s 8th arrondissement known for its residential character and local amenities.
  • A. Bachorze
    Bachorze is a small settlement in northern Poland located near Lake Charzykowskie, known for its access to the surrounding lakes and forests of the Kashubian region.
  • B. Bachern
    Bachern is a small village in Bavaria, Germany, that forms part of the municipality of Inning am Ammersee.
  • C. Brechtel
    Brechtel is a residential subarea within the Algiers neighborhood of New Orleans, Louisiana.
  • D. Bonnke
    Bonnke is a German surname most prominently associated with Reinhard Bonnke, a well-known Christian evangelist.
  • E. Chamerbach
    Chamerbach is a small river in central Switzerland that serves as one of the tributaries feeding into Lake Zug.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fdecf108190a5b215fd25bc4dda completed April 20, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a080501d1308190917e1842dacd3de9 completed May 16, 2026, 5:47 a.m.
NEDg Description generation batch_6a0808d323cc819086e6282aeef0f651 completed May 16, 2026, 6:04 a.m.
NED2 Entity disambiguation (via description) batch_6a0809652acc819098cc2c4f67b5ab66 completed May 16, 2026, 6:06 a.m.
Created at: April 11, 2026, 3:30 p.m.